Computational Infrastructure Scientist – Biological Data Systems at Eli Lilly and Company

Indianapolis, Indiana, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Biotechnology, PharmaceuticalsIndustries

Requirements

PhD in Computational Biology, Chemistry, Bioinformatics, or a related scientific field
Strong programming experience in Python and strong familiarity with R
Proficiency in Linux environments and Git (required)
Knowledge of biological databases, ontologies, and metadata systems
Knowledge in PostgreSQL databases
Exposure to cloud platforms (e.g., AWS S3, EC2, or equivalent)
Experience working with workflow execution environments including NextFlow
Experience developing data-driven decision support applications including data and visual analytical tools
Exposure to Docker or containerized environments
Strong communication skills and the ability to work independently on open-ended technical problems
Understanding of web design and API (preferred)

Responsibilities

Strategize and implement scientific data processing workflows that transform complex biological datasets into actionable insights
Design and develop innovative algorithms and ETL systems to address emerging challenges in biological and drug discovery data integration
Collaborate cross-functionally with domain scientists and engineers to translate biological questions into computational frameworks
Contribute to the long-term architecture and evolution of the data platform, ensuring scalability, transparency, and reproducibility
Develop cloud-based workflows and APIs that enable efficient access and analysis across diverse biological datasets
Document and share design decisions to promote reuse and institutional knowledge
Develop and extend data models and ontologies that harmonize heterogeneous sources of biological, genetic, and clinical information
Design scalable data ingestion, standardization, and transformation pipelines for genomic and functional datasets
Collaborate with domain experts in genomic medicine, computational biology, bioinformatics, genetics, and informatics to ensure that infrastructure design supports high-impact scientific use cases
Support and develop scientific workflows that impact the drug discovery portfolio
Build the frameworks that enable semantic interoperability, metadata-rich data exchange, and traceable, reproducible data workflows
Contribute to the evolution of open data standards and knowledge representation across the life sciences

Skills

Key technologies and capabilities for this role

bioinformaticsdata architecturesoftware engineeringdata modelsontologiesdata ingestiondata pipelinesgenomic datascientific workflowsgeneticsinformaticscomputational biology

Questions & Answers

Common questions about this position

What education level is required for this Computational Infrastructure Scientist role?

This is a scientific engineering position ideal for a PhD-level scientist who bridges biology, computation, and informatics.

What are the main responsibilities of this position?

Responsibilities include developing data models and ontologies, designing scalable data ingestion pipelines, collaborating with domain experts, supporting scientific workflows, and building frameworks for semantic interoperability and reproducible data workflows.

What salary or compensation is offered for this role?

This information is not specified in the job description.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What makes a strong candidate for this Computational Infrastructure Scientist position?

The ideal candidate is a PhD-level scientist with deep understanding of biological and genetic data complexity, passion for designing robust infrastructure, and a combination of scientific curiosity with engineering discipline at the intersection of genetics, bioinformatics, data architecture, and software engineering.

Eli Lilly and Company

Develops and delivers prescription medicines globally

About Eli Lilly and Company

Eli Lilly and Company is a global pharmaceutical company that focuses on discovering, developing, and delivering medicines to improve health. The company has a long history of scientific achievements, including the creation of insulin, the first life-saving treatment for diabetes. Lilly's operations involve extensive research and development to create new medications and enhance existing ones, ensuring they are safe and effective. Their products are primarily prescription medicines sold to healthcare providers for various medical conditions, including diabetes, cancer, and pain management. What sets Lilly apart from its competitors is its strong commitment to ethical practices and the protection of its products from counterfeiting. The company's goal is to enhance lives through innovative medical solutions while maintaining high standards of quality and ethics.

Indianapolis, IndianaHeadquarters

1876Year Founded

$1,180.1MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Competition from Novo Nordisk's Ozempic may impact tirzepatide's market share.

Potential construction delays in Indiana could affect GLP-1 drug production timelines.

Regulatory challenges may hinder Kisunla's expansion in new Alzheimer's markets.

Differentiation

Eli Lilly's rich history includes the first life-saving insulin treatment.

Lilly's strategic partnerships enhance its position in neurodegenerative disease treatments.

FDA approval of Zepbound opens new therapeutic markets for sleep disorder treatments.

Upsides

Lilly's $9 billion complex in Indiana boosts GLP-1 drug production capacity.

Kisunla's approval in China expands Lilly's Alzheimer's treatment market in Asia.

Collaboration with EVA Pharma enhances Lilly's reputation as socially responsible.

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